Ramesh Shah

1.3k citations
16 papers · 1.1k indexed · h-index 15

Impact in

Papers in

Ramesh Shah

16 papers receiving 1.1k citations

Peers

Ramesh Shah
Comparison fields: 5 of 74
  • Biochemistry 218
  • Cancer Research 225
  • Surgery 657
  • Endocrinology, Diabetes and Metabolism 225
  • Nutrition and Dietetics 192
Replace Virginie Bocher with:
Virginie Bocher France
Ella Born United States
J M Dietschy United States
Miek C. Jong Netherlands
A K Bhattacharyya United States
T M Forte United States
Garry J. Hopkins Australia
Dawn Marchadier United States
Ray C. Pittman United States
Michael Avella United Kingdom
Ramesh Shah relative to Virginie Bocher France Virginie Bocher's profile →
Citations per field
00.5×1.5×
Virginie Bocher · 1×
Citations per year

Countries citing papers authored by Ramesh Shah

Since Specialization
Citations

This map shows the geographic impact of Ramesh Shah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ramesh Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Shah more than expected).

Fields of papers citing papers by Ramesh Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramesh Shah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ramesh Shah. The network helps show where Ramesh Shah may publish in the future.

Co-authors

The 25 scholars most cited alongside Ramesh Shah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ramesh Shah Line = papers co-authored together Ramesh Shah links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Sex and seasonal variations in the serum biochemical profile of Changthangi Pashmina goats.
20153
2 201325
3 201331
4 201067
5 2010125
6 201094
7 200952
8 200893
9 2008130
10 200560
11 200595
12 200239
13 1998150
14 199767
15 197958
16 197745

About Ramesh Shah

Ramesh Shah is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Biochemistry, Nutrition and Dietetics and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Fatty Acid Research and Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Biochemistry (218 citations), Cancer Research (225 citations), Surgery (657 citations), Endocrinology, Diabetes and Metabolism (225 citations) and Nutrition and Dietetics (192 citations). Ramesh Shah has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Janet K. Sawyer, Lawrence L. Rudel, Martha D. Wilson, Kathryn L. Kelley, L L Rudel, J. Mark Brown, Matthew A. Davis, Richard Lee, D G Greene and Heather M. Alger. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Clinical Investigation and Cell Metabolism.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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